Multi-Timeframe Sweep and AlertThis indicator is designed to be used with the Fractal Model in that it will visually alert you when there has been a sweep on the 15m, 30m, 1h, and 4H time frames. You can also have it send you alerts as well
趋势分析
Quant Trading Zero Lag Trend Signals (MTF) Strategy🧠 Strategy Overview
The Quant Trading Zero Lag Trend Signals (MTF) Strategy is a high-precision, multi-timeframe trend-following system designed for traders seeking early trend entries and intelligent exits. Built around ZLEMA-based signal detection, it includes dynamic risk management features and is optimized for automation via the Quant Trading Strategy Optimizer Chrome extension. Based on the original Zero Lag Trend Signals (MTF) from AlgoAlpha.
Based on popular request, I am including more documentation related to the strategy.
🔍 Key Components
1️⃣ ZLEMA Trend Engine
ZLEMA (Zero-Lag EMA) forms the foundation of the trend signal system.
Detects bullish and bearish momentum by analyzing price action crossing custom ZLEMA bands.
Optional confirmation using 5-bar ZLEMA slope filters (up/down trends) ensures high-conviction entries.
2️⃣ Volatility-Based Signal Bands
Dynamic bands are calculated using ATR (volatility) stretched over 3× period length.
These bands define entry zones (outside the bands) and trend strength.
Price crossing above/below the bands triggers trend change detection.
3️⃣ Entry Logic
Primary long entries occur when price crosses above the upper ZLEMA band.
Short entries (optional) trigger on downside cross under the lower band.
Re-entry logic allows continuation trades during strong trends.
Filters include date range, ZLEMA confirmation, and previous position state.
4️⃣ Exit Logic & Risk Management
Supports multiple customizable exit mechanisms:
🔺 Stop-Loss & Take-Profit
ATR-Based SL/TP: Uses ATR multipliers to dynamically set levels based on volatility.
Fixed Risk-Reward TP: Targets profit based on predefined RR ratios.
Break-Even Logic: Automatically moves SL to entry once a threshold RR is hit.
EMA Exit: Optional trailing exit based on price vs. short EMA.
🔀 Trailing Stop
Follows price action using a trailing ATR-based buffer that tightens with trend movement.
🔁 Trend-Based Exit
Automatically closes positions when the detected trend reverses.
5️⃣ Multi-Option Trade Filtering
Enable/disable short trades, ZLEMA confirmations, re-entries, etc.
Time-based backtesting filters for isolating performance within custom periods.
6️⃣ Visual Feedback & Annotations
Trend shading overlays: Green for bullish, red for bearish zones.
Up/Down triangle markers show when ZLEMA is rising/falling for 5 bars.
Stop-loss, TP, trailing lines drawn dynamically on the chart.
Floating stats table displays live performance (PnL, win %, GOA, drawdown, etc.).
Trade log labels annotate closed trades with entry/exit, duration, and reason.
7️⃣ CSV Export Integration
Seamless export of trade data including:
Entry/exit prices
Bars held
Encoded exit reasons
Enables post-processing or integration with external optimizers.
⚙️ Configurable Parameters
All key elements are customizable:
Entry band length and multiplier
ATR lengths, multipliers, TP/SL, trailing stop, break-even
Profit target RR ratio
Toggle switches for confirmations, trade types, and exit methods
🚀 Optimizer-Ready
This strategy was built for advanced backtesting automation:
100% compatible with the Quant Trading Strategy Optimizer Chrome Extension
Supports parameter sweeps, multi-symbol, and multi-timeframe optimization
Supply and Demand Zones🔍 Supply and Demand Zones
by The_Forex_Steward
This indicator automatically identifies Supply and Demand Zones based on aggregated synthetic candles, helping traders pinpoint potential reversal or breakout levels with clarity and precision.
🧠 How It Works:
This tool aggregates price data over a set number of candles (defined by the Aggregation Factor ) to create "synthetic candles" that smooth out noise and highlight significant institutional price activity. These candles are then analyzed to detect bullish or bearish order blocks , which are visualized as zones:
-Demand Zones (Green) : Formed when price breaks above the high of a previous bearish synthetic candle.
-Supply Zones (Red) : Formed when price breaks below the low of a previous bullish synthetic candle.
These areas often represent key institutional interest where price is likely to react.
⚙️ Key Features:
-Aggregation Factor : Groups candles to form larger, synthetic ones. Higher values smooth price and reduce noise.
-Custom Zone Length : Define how far zones extend forward (up to 500 bars).
-Mitigation Logic : Choose whether to auto-delete zones once price breaks through them.
-Visual Customization : Customize zone colors and borders to suit your charting style.
-Alerts : Get notified when new Supply or Demand zones are formed.
📈 How to Use It:
1. Trend Trading : Use zones as dynamic support/resistance to enter with trend pullbacks.
2. Reversals : Look for price reactions at untested zones for potential counter-trend setups.
3. Breakouts : Monitor for zone breaks that signal strong momentum or shifts in market structure.
4. Confluence : Combine with other indicators (like RSI or volume) for more robust trade setups.
🔔 Alerts:
Receive alerts when new demand or supply zones are formed so you can take action in real time.
✅ Recommended Settings:
For intraday trading : Use lower aggregation values (e.g., 3–5).
For swing/position trading : Higher values (e.g., 6–10) may give better structure.
Long Wick Detector [LuxAlgo]The Long Wick Detector tool allows traders to identify candle wicks longer than a user-defined volatility threshold. This makes it useful for spotting zones with high supply or demand.
The tool displays mitigated and unmitigated levels and changes the color of the candles based on wick size and level breakouts.
🔶 USAGE
By default, the tool displays long mitigated and unmitigated candle wicks, with a maximum duration for an unmitigated long wick of 1,000 bars. What does all this mean?
🔹 Wick Threshold
Traders can adjust the volatility threshold to identify long wicks, with a higher threshold detecting more significant wicks.
As we can see in the image above, the tool detects more wicks with a smaller threshold compared to a higher one.
🔹 Level %
Traders can choose the percentage of the wick at which the level is located. By default, the level is displayed at the extremes of the wick. This parameter accepts values between 0 and 100.
100: extreme of the wick
50: middle of the wick
0: start of the wick
🔹 Max Duration
This parameter allows traders to specify the number of bars for the levels. The tool will only display mitigated or unmitigated levels up to the specified number of bars.
As shown in the above image, a longer duration allows more room for mitigation, displaying more levels.
🔹 Colored Candles
The tool allows for color customization using two parameters from the settings panel. The chart shows the different outputs.
The setting "Wick-Based Transparency" makes candles with smaller wicks less visible and candles with longer wicks more visible.
On the other hand, "Breakout-Based Color" changes the base color of the candles based on the mitigation of long wicks. When the price breaks above a detected top wick, the bullish color is used. When the price breaks below a detected bottom wick, the bearish color is used.
🔶 SETTINGS
Wick Threshold: The volatility threshold for wick detection. Use a smaller value to detect smaller wicks.
Level %: Placement of the plotted level relative to the wick.
Max Duration: The maximum duration in bars of mitigated wicks.
Mitigated Wicks: Enable or disable mitigated wicks.
🔹 Style
Wick Based Transparency: Make candles with smaller wicks more transparent and candles with longer wicks more solid.
Breakout Based Color: Change the base color based on wick mitigation.
Bullish & Bearish Colors
target tendance//@version=6
indicator("target tendance", "TT", overlay = true)
// Trend settings
st_factor = input.float(12, title="Supertrend Factor", minval=1, step=0.5, group="Trend Settings",
tooltip="Multiplier for the ATR to determine Supertrend bands width. Higher values create wider bands and fewer signals.")
st_atr_period = input.int(90, title="Supertrend ATR Period", minval=1, group="Trend Settings",
tooltip="Number of bars used to calculate the ATR for Supertrend. Longer periods create smoother, less reactive bands.")
wma_length = input.int(40, title="WMA Length", minval=1, group="Trend Settings",
tooltip="Length of the Weighted Moving Average applied to the SuperTrend. Higher values create smoother, less reactive lines.")
ema_length = input.int(14, title="EMA Length", minval=1, group="Trend Settings",
tooltip="Length of the Exponential Moving Average applied to the WMA. Controls the final smoothness of the trend line.")
//Continuation settings
cont_factor = input.int(3, title="Confirmation count", minval=1, group="Rejection Settings",
tooltip="Number of consecutive bars that must consolidate at the trend line before a rejection signal is generated. Higher values require more bars to confirm a trend.")
// Volatility settings
shw_TP1 = input.bool(true, title="Show Take Profit Levels", group="Targets",
tooltip="Toggle visibility of take profit target levels on the chart.")
atr_period = input.int(14, title="Volatility (ATR) period", minval=1, group="Targets",
tooltip="Number of bars used to calculate the Average True Range for position sizing and targets.")
sl_multiplier = input.float(5, title="Stop Loss ATR Multiplier", minval=0.1, step=0.1, group="Targets",
tooltip="Multiplier applied to ATR to determine stop loss distance from entry. Higher values place stops further away.")
tp1_multiplier = input.float(0.5, title="TP1 Multiplier", minval=0.1, step=0.1, tooltip="Multiple of SL distance for first take profit target.", group="Targets")
tp2_multiplier = input.float(1.0, title="TP2 Multiplier", minval=0.1, step=0.1, tooltip="Multiple of SL distance for second take profit target.", group="Targets")
tp3_multiplier = input.float(1.5, title="TP3 Multiplier", minval=0.1, step=0.1, tooltip="Multiple of SL distance for third take profit target.", group="Targets")
volatility = ta.atr(atr_period)
// Appearance settings
green = input.color(#95eed6, title="Bullish Color", tooltip="Color used for bullishness", group="Appearance")
red = input.color(#ff1100, title="Bearish Color", tooltip="Color used for bearishness", group="Appearance")
pine_supertrend(factor, atrPeriod) =>
src = hl2
atr = ta.atr(atrPeriod)
upperBand = src + factor * atr
lowerBand = src - factor * atr
prevLowerBand = nz(lowerBand )
prevUpperBand = nz(upperBand )
lowerBand := lowerBand > prevLowerBand or close < prevLowerBand ? lowerBand : prevLowerBand
upperBand := upperBand < prevUpperBand or close > prevUpperBand ? upperBand : prevUpperBand
= pine_supertrend(st_factor, st_atr_period)
tL = ta.ema(ta.wma(math.avg(lwr, upr), wma_length), ema_length)
var trend = 0
if ta.crossover(tL, tL )
trend := 1
if ta.crossunder(tL, tL )
trend := -1
var rejcount = 0
bullishrej = trend == 1 and high > tL and low < tL
bearishrej = trend == -1 and high > tL and low < tL
if (bullishrej or bearishrej)
rejcount += 1
if ta.cross(trend, 0) or (not (bullishrej or bearishrej) and rejcount > 0)
rejcount := 0
plotchar((rejcount > cont_factor and trend == 1) ? tL : na, "Bullish Rejection", "▲", location.belowbar, green, size = size.tiny)
plotchar((rejcount > cont_factor and trend == -1) ? tL : na, "Bearish Rejection", "▼", location.abovebar, red, size = size.tiny)
plot(tL, "Baseline", color=trend == 1 ? color.new(green, 50) : color.new(red, 50), linewidth = 2)
barcolor(trend == 1 ? color.new(green, 50) : color.new(red, 50))
plotshape(ta.crossover(tL, tL ) ? tL : na, title="Bullish Trend Change", style=shape.labelup, location=location.absolute, size=size.small, color=green)
plotshape(ta.crossunder(tL, tL ) ? tL : na, title="Bearish Trend Change", style=shape.labeldown, location=location.absolute, size=size.small, color=red)
longSignal = ta.crossover(trend, 0)
shortSignal = ta.crossunder(trend, 0)
var SL = 0.0
var TP1_lvl = 0.0
var TP2_lvl = 0.0
var TP3_lvl = 0.0
var line entry_line = na
var line sl_line = na
var line tp1_line = na
var line tp2_line = na
var line tp3_line = na
var label entry_label = na
var label sl_label = na
var label tp1_label = na
var label tp2_label = na
var label tp3_label = na
if longSignal and shw_TP1
SL := low - volatility * sl_multiplier
TP1_lvl := close + math.abs(close - SL) * tp1_multiplier
TP2_lvl := close + math.abs(close - SL) * tp2_multiplier
TP3_lvl := close + math.abs(close - SL) * tp3_multiplier
entry_line := line.new(bar_index, close, bar_index, close, color = green, width = 3)
entry_label := label.new(bar_index, close, text = "Entry ▸ " + str.tostring(close, format.mintick), style = label.style_label_left, color = green, textcolor = color.white)
sl_line := line.new(bar_index, SL, bar_index, SL, color = color.new(red, 80), width = 3)
sl_label := label.new(bar_index, SL, text = "✘ SL ▸ " + str.tostring(SL, format.mintick), style = label.style_label_left, color = color.new(red, 80), textcolor = color.white)
Smart Session SyncSmart Session Sync — Intelligent Trading Session Overlay
- By 0xTheChartist Code2trade
Smart Session Sync is designed to detect major reversal points and key price pivots formed on higher timeframes, particularly during high-volume periods of the day — often marking the footprints of institutional orders and whales.
🔍 Key Features:
Displays standard sessions (Asian, London, New York) and allows adding custom time sessions.
Offers two visualization modes:
Time session table
Visual session boxes plotted on the chart
Auto-sync with seasonal time changes (Summer/Winter), supports Daylight Saving Time (DST)
Full flexibility:
Toggle table, boxes, and labels on/off
Customize colors for all session elements
Choose which months are considered summer/winter
💡 Suggested Use Case:
Use Smart Session Sync to pinpoint critical price structures such as:
Peaks and troughs of trending waves
Highs/lows in Wyckoff trading ranges
Liquidity sweeps or untouched liquidity zones
----------------------
LANZ Strategy 2.0 [Backtest]🔷 LANZ Strategy 2.0 — Structural Breakout Logic with Dynamic Swing Protection
LANZ Strategy 2.0 is a precision-focused backtesting system built for intraday traders who rely on structural confirmations before the London session to guide directional bias. This tool uses smart swing detection, risk-defined position sizing, and strict time-based execution to simulate real trading conditions with clarity and control.
🧠 Core Components:
Structural Confirmation (Trend & BoS): Detects trend direction and break of structure (BoS) using a three-swing logic, aligning trade entries with valid structural movement.
Time-Based Execution: Trades are triggered exclusively at 02:00 a.m. New York time, ensuring disciplined and repeatable intraday testing.
Swing-Based SL Models: Traders can select between three stop-loss protection types:
First Swing: Most recent structural level
Second Swing: Prior level
Full Coverage: All recent swing levels + configurable pip buffer
Dynamic TP Calculation: Take-Profit is projected as a risk-based multiple (RR), fully adjustable via input.
Capital-Based Risk Management: Risk is defined as a percentage of a fixed account size (e.g., $100 per trade from $10,000), and lot size is automatically calculated based on SL distance.
Fallback Entry Logic: If structural breakout is present but trend is not confirmed, a secondary entry is triggered.
End-of-Session Management: Any open trades are automatically closed at 11:45 a.m. NY time, with optional manual labeling or review.
📊 Visual Features (Optional in Indicator Version):
(Note: Visuals apply to the indicator version of LANZ 2.0, not this backtest script)
Swing level labels (1st, 2nd) and dynamic SL/TP lines.
Real-time session coloring for clarity: Pre-London, Entry Window, and NY Close.
Outcome labels: +RR, -RR, or net % at close.
Auto-cleanup of previous drawings for a clean chart per session.
⚙️ How It Works:
Detects last trend and BoS using swing logic before 02:00 a.m. NY.
At 02:00 a.m., evaluates directional bias and executes BUY or SELL if confirmed.
Applies selected SL logic (1st, 2nd, or full swing protection).
Sets TP based on the RR multiplier.
Closes the trade either on SL, TP, or at 11:45 a.m. NY manually.
🔔 Alerts:
Time-of-day alert at 02:00 a.m. NY to monitor execution.
Can be extended to cover SL/TP triggers or new BoS events.
📝 Notes:
Designed for backtesting precision and discretionary decision-making.
Ideal for Forex pairs, indices, or assets active during the London session.
Fully customizable: session timing, swing logic, SL buffer, and RR.
👤 Credits:
Strategy built by @rau_u_lanz using Pine Script v6, combining structural logic, capital-based risk control, and London-session timing in a backtest-ready framework for traders who demand accuracy and structure.
Zonas con Retrocesofibonacci [Nachomixcrypto]The "Zonas con Retrocesofibonacci " Pine Script indicator for TradingView visualizes Smart Money Concepts (SMC) by displaying premium, discount, and equilibrium zones, along with a Fibonacci Golden Zone (0.50–0.786 retracement), tailored to the chart’s timeframe.
Premium Zone: Red box near recent highs (trailing.top), labeled "Premium," marking overbought areas for potential selling. Customizable via premiumZoneColorInput, with toggleable borders (premiumBorderToggle).
Discount Zone: Green box near recent lows (trailing.bottom), labeled "Descuento," indicating oversold areas for potential buying. Customizable via discountZoneColorInput, with toggleable borders.
Equilibrium Zone: Gray box at the midpoint of recent high/low, labeled "Equilibrio," showing a neutral price area. Customizable via equilibriumZoneColorInput, with toggleable borders.
Fibonacci Golden Zone: Gold box spanning 0.50 to 0.786 retracement levels from recent high to low, labeled "Zona Dorada." Includes labels for 0.50, 0.618, and 0.786 levels, though prices may be inaccurate due to continuous updates of trailing.top/trailing.bottom. Optional dashed range line connects high to low (showFiboRangeLineInput).
Functionality:
Zones are drawn as semi-transparent boxes from the high/low bar to the current bar, adapting to the timeframe using trailingExtremes for recent highs/lows.
Fibonacci retracement uses trailing.top and trailing.bottom, with a box and labels highlighting the 0.50–0.786 range.
Controlled by showPremiumDiscountZonesInput and showFiboGoldenZoneInput (both default: true).
Use Case: Ideal for SMC traders identifying institutional buying/selling zones and Fibonacci-based reversal areas on higher timeframes (e.g., 1H, 4H) in liquid markets.
Limitation: Fibonacci price labels may show incorrect values due to dynamic updates of trailing.top/trailing.bottom.Premium Zone: Red box near recent highs, labeled "Premium," indicating a potential selling area.
Discount Zone: Green box near recent lows, labeled "Descuento," indicating a potential buying area.
Equilibrium Zone: Gray box at the midpoint, labeled "Equilibrio," marking a neutral zone.
Golden Zone: Gold box from 0.50 to 0.786 retracement, labeled "Zona Dorada," with additional labels for 0.50, 0.618, and 0.786 levels (e.g., "0.50--------", "0.618------", "0.786------").
Range Line: Optional dashed gold line connecting the high to the low used for Fibonacci retracement.
Customization: Users can toggle zones and Fibonacci, adjust colors (premiumZoneColorInput, fiboGoldenZoneColorInput), and enable/disable borders via settings.
OB🚀 NEW TradingView Indicator – Order Blocks! 📊
Tired of messy charts full of clutter?
Meet the indicator that does the heavy lifting:
🔹 Automatically marks all Order Blocks (OB)
🔹 Auto-deletes them once they’re broken (when price closes beyond the high/low)
🔹 Keeps your chart clean, clear, and focused
🔹 Works on all timeframes
🔹 Fully customizable to match your trading style
Buy/Sell Oscillator (BSO)📊 Buy/Sell Oscillator (BSO) – TradingView Script (Quick Guide)
What It Is:
A momentum-based indicator that plots buy/sell signals using a custom oscillator similar to RSI.
How It Works:
Calculates average gain/loss over a set period using Wilder’s method.
Converts the ratio into a BSO value (0–100 scale).
Buy Signal (Green Arrow): When BSO crosses below 40 (oversold).
Sell Signal (Red Arrow): When BSO crosses above 60 (overbought).
How to Use:
Apply on intraday charts (1–5 min) for momentum trading.
Buy on green arrow + price strength.
Sell or short on red arrow + weakness.
Works best with trend or volume confirmation.
Customizable:
Length, overbought/oversold levels, arrow visibility.
1M Scalp Setup – 2ndHi/2ndLo Breakout1M Scalp Setup – 2ndHi/2ndLo Breakout
This script is designed for 1-minute chart scalpers seeking high-probability intraday breakout setups based on early session price action. The strategy revolves around identifying the first high and low of the day, and then detecting the second breach (2nd high or 2nd low) to anticipate breakout entries.
🔍 Core Logic:
EMA Filter : A configurable EMA (default 8-period) is plotted for trend context.
1st High/Low Detection : Captures the very first high and low of each trading day.
2nd High/Low Markers : Identifies the second time price breaks the initial high or low, acting as a potential signal zone.
Breakout Signals :
A Buy Signal is triggered when price closes above the 2nd high.
A Sell Signal is triggered when price closes below the 2nd low.
Each signal is only triggered once per day to reduce noise and avoid overtrading.
🖌️ Visual Markers:
1stHi and 1stLo : Early session levels (red and green).
2ndHi and 2ndLo : Key breakout reference points (purple and blue).
B and S Labels : Buy and Sell triggers marked in real-time once breakouts occur.
⚙️ Inputs:
EMA Length (default: 8)
Customizable Colors for Buy/Sell signals and key markers
This tool is best used in fast-moving markets or during high-volume sessions. Combine with volume or higher-timeframe confirmation for improved accuracy.
CANX SMC Levels, Traps & MS © CanxStixTrader
This indicator helps spot inducements and Smart Money Traps as well as basic support and resistance levels on your chosen time frame. Updated to include market structure to help identify valid zones and when to place your trades.
Using four of the most significant points in price action
1. Breakouts
2. False Breakouts (Traps)
3. Back Checks
4. Market Structure
I always go on about price action on my channels because this alone can help identify valid and invalid positions. If these three points are properly identified they can be some of the most significant points of movement in the price and bring significant gains to traders.
Breakouts
Breakouts can bring significant moves in price as the market swings after key levels are breached. This entry type can bring large moves and if momentum is on your side at those key levels.
False Breakouts
Also known as a bull trap or a bear trap, false breakouts can lead to swift and significant reversal of what looks like a key area break then becomes a large and sudden move to the opposite side. When a key level breakout fails to hold, parties entering to capitalize on the breakout can get left holding or forcing them to exit at a loss, which can double the force of pressure on the move to the opposite side.
Back Checks
Back checks are pull backs in trend that find middle ground to the two areas already described. Both momentum and entry price are decent, but risk is defined as a key level has flipped offering entry with stops below demand, or above supply.
Market Structure
Helps to identify the market direction and potential trend reversals so you have more clarity when placing your trade
-----------------------------------
Combining these four methods will helps to diversify risk, understand trend development. This script helps to identify these points to traders with analysis of key levels, price structure, and trend direction.
Enjoy,
© CanxStixTrader
Keep it simple
MACD Differential Crossover Alerts & Arrows🔥 MACD Differential Crossover Alerts & Arrows
This lightweight yet powerful indicator tracks momentum shifts using the MACD Differential — the difference between the MACD Line and its Signal Line. When this differential crosses the zero line, it often signals the start of a new trend or an early momentum reversal.
✅ Core Logic:
MACD Line = EMA(Fast Length) − EMA(Slow Length)
Signal Line = EMA(MACD Line, Signal EMA Length)
MACD Differential = MACD Line − Signal Line
📈 Visual Cues:
White Up Arrow when the MACD Differential crosses above zero (bullish signal)
White Down Arrow when it crosses below zero (bearish signal)
Ideal for fast-paced setups on 1-min to 15-min charts
⚙️ Customizable Settings:
Setting Type Default Description
Fast EMA Length Integer 9 Sets the short-term EMA for the MACD Line
Slow EMA Length Integer 20 Sets the long-term EMA for the MACD Line
Signal EMA Length Integer 6 Smooths the MACD Line to form the Signal Line
Show Arrows Boolean true Toggles visibility of up/down arrows on chart
Enable Alerts Boolean true Enables alert conditions for crossover events
🔔 Built-in Alerts:
"MACD Diff crossed ABOVE zero" → Bullish momentum alert
"MACD Diff crossed BELOW zero" → Bearish momentum alert
Break-out DailyBreakout - with body - of yesterday's daily high or low.
With body we mean that the indicator only signals if the candle has closed above the high (Breakout - Long) or below the low (Breakout - Short).
This indicator can make mistakes such as not signaling a breakout or signaling it at the wrong level (this is because it is based on the highs/lows recorded in the daily candle, not the daily high/low in the reference timeframe).
I recommend always checking if the breakout has actually occurred.
I hope it will make it easier for you to read the charts and happy trading to everyone! :)
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Rottura strutturale - con corpo - del massimo o minimo giornaliero di ieri.
Con corpo si intende che l'indicatore segnala solo se la candela ha chiuso al di sopra del massimo(Break-out - Long) o al di sotto del minimo(Break-out - Short).
Questo indicatore può fare degli errori come non segnalare una rottura strutturale o segnalarla su un livello sbagliato(questo perché si basa sui massimi/minimi registrati nella candela giornaliera, non il massimo/minimo giornaliero nel timeframe di riferimento).
Consiglio di controllare sempre se effettivamente è avvenuta la rottura.
Spero che vi semplificherà la lettura dei grafici e buon trading a tutti! :)
SOXL Trend Surge v3.0.2 – Profit-Only RunnerSOXL Trend Surge v3.0.2 – Profit-Only Runner (Long Only)
Optimized for the 45-minute chart
Description:
A refined breakout strategy tailored for SOXL on the 45-minute timeframe, this version of the Trend Surge engine eliminates stop losses entirely to focus on pure trend exploitation. Version 3.0.2 uses dynamic partial exits and trailing profits, enabling trades to run uninterrupted through volatile momentum expansions.
Performance Snapshot (45m timeframe):
+641% cumulative return
96.88% win rate (62 of 64 trades)
Avg. profit per trade: $50.09
Profit factor: 370.77
Max drawdown: 32.84%
Largest win: $148.47
Only 2 losing trades total
Entry Criteria:
Price > 200 EMA
Supertrend bullish
ATR increasing (volatility-confirmation)
Volume above 20-bar average
Trade window: 7am–12pm PST
Exit Strategy:
Take 50% profit at 2× ATR gain
Remaining position rides via 1.5× ATR trailing stop
No stop loss, no RSI or break-even exit
Ideal For:
Webull cash traders
ETF swing scalpers
Automated alert-to-order workflows (Alpaca, TradingView alerts, etc.)
Traders who prefer let-the-run happen style risk management
SMA Backtest Optimizer [Mr_Rakun]The SMA Backtest Optimizer is a powerful Pine Script tool designed to systematically analyze and compare various Simple Moving Average (SMA) periods to identify the most profitable configuration for trading strategies. This indicator tests multiple SMA periods (from 10 to 100) using a crossover strategy where buys occur when price crosses above the SMA and sells when price crosses below it.
Key Features:
Tests 10 different SMA periods to determine optimal settings
Calculates profit/loss based on a defined starting capital
Tracks total profit and number of trades for each period
Visually highlights the best performing SMA on your chart
Displays comprehensive results in an easy-to-read table
Labels the chart with key performance metrics
This code serves as a core framework that traders can customize for their specific needs. You can easily modify the strategy parameters, test different technical indicators, adjust capital settings, or implement more complex entry/exit rules. The optimization methodology can be applied to virtually any trading approach you wish to evaluate.
Feel free to adapt this framework to test your own trading ideas and discover which parameters work best in different market conditions.
Turtle Channels PRO+ | All FeaturesThis is a powerful, adaptive trend-following strategy based on Turtle Trading principles — enhanced with:
Auto-adjusting stop loss/take profit via ATR volatility percentiles
Partial profit-taking with trailing stops
EMA trend filtering, RSI filters, and swing structure confirmation
It’s designed to be profitable across all assets and timeframes, with default optimization for 15-minute charts.
🧭 How to Use the Strategy
1. Applying to Chart
Copy/paste the full script into a TradingView Pine Script Editor
Click “Add to chart”
Open the Strategy Tester tab to see performance results
2. Entry Logic
🟢 Long Entry:
Triggered when:
Price crosses above the upper channel (20-period high)
AND optional filters pass:
EMA filter: price above EMA(55)
RSI: below overbought
Swing: current bar is a swing low
🔴 Short Entry:
Triggered when:
Price crosses below the lower channel (20-period low)
AND optional filters pass:
EMA filter: price below EMA(55)
RSI: above oversold
Swing: current bar is a swing high
3. Exit Logic
🟦 Partial Take Profit (if enabled):
50% of position closed at 1x ATR target (adaptive to volatility)
Remaining 50% exits at 2x ATR target or via trailing stop
🚪 Exit by Channel Break:
Exits if price breaks opposite channel (exitHigh or exitLow)
4. Auto SL/TP Adaptation
If enabled:
ATR volatility is compared to a rolling average (percentile)
The strategy scales SL/TP automatically between a min and max multiplier
Example: SL = ATR × 1.0 to 2.5 depending on recent volatility
5. Filters (Toggleable)
Filter Description
✅ EMA Ensures trades align with trend
✅ RSI Avoids entries in overbought/sold extremes
✅ Swing Confirms momentum with structural highs/lows
Use combinations for precision entries and avoid false signals in choppy zones.
6. Optimizing Settings
You can tune the following for each market:
entry Len & exit Len: Adjust for faster/slower channels
ema Len: Modify trend responsiveness
atr Min Mult/atr Max Mult: Adjust SL/TP size based on market volatility
partial Ratio: Scale more or less at TP1
trail Offset Mult: Adjust trailing stop tightness
Start with 15m timeframe and test across BTC/USD, Gold, Forex, etc.
📈 Strategy Tester Metrics to Watch
Win rate vs Profit Factor
Max Drawdown
Net Profit
Sharpe Ratio (lower timeframe = more noise, so smooth settings help)
Inspired by turtle soup indicator
Ultimate Scalping Tool[BullByte]Overview
The Ultimate Scalping Tool is an open-source TradingView indicator built for scalpers and short-term traders released under the Mozilla Public License 2.0. It uses a custom Quantum Flux Candle (QFC) oscillator to combine multiple market forces into one visual signal. In plain terms, the script reads momentum, trend strength, volatility, and volume together and plots a special “candlestick” each bar (the QFC) that reflects the overall market bias. This unified view makes it easier to spot entries and exits: the tool labels signals as Strong Buy/Sell, Pullback (a brief retracement in a trend), Early Entry, or Exit Warning . It also provides color-coded alerts and a small dashboard of metrics. In practice, traders see green/red oscillator bars and symbols on the chart when conditions align, helping them scalp or trend-follow without reading multiple separate indicators.
Core Components
Quantum Flux Candle (QFC) Construction
The QFC is the heart of the indicator. Rather than using raw price, it creates a candlestick-like bar from the underlying oscillator values. Each QFC bar has an “open,” “high/low,” and “close” derived from calculated momentum and volatility inputs for that period . In effect, this turns the oscillator into intuitive candle patterns so traders can recognize momentum shifts visually. (For comparison, note that Heikin-Ashi candles “have a smoother look because take an average of the movement”. The QFC instead represents exact oscillator readings, so it reflects true momentum changes without hiding price action.) Colors of QFC bars change dynamically (e.g. green for bullish momentum, red for bearish) to highlight shifts. This is the first open-source QFC oscillator that dynamically weights four non-correlated indicators with moving thresholds, which makes it a unique indicator on its own.
Oscillator Normalization & Adaptive Weights
The script normalizes its oscillator to a fixed scale (for example, a 0–100 range much like the RSI) so that various inputs can be compared fairly. It then applies adaptive weighting: the relative influence of trend, momentum, volatility or volume signals is automatically adjusted based on current market conditions. For instance, in very volatile markets the script might weight volatility more heavily, or in a strong trend it might give extra weight to trend direction. Normalizing data and adjusting weights helps keep the QFC sensitive but stable (normalization ensures all inputs fit a common scale).
Trend/Momentum/Volume/Volatility Fusion
Unlike a typical single-factor oscillator, the QFC oscillator fuses four aspects at once. It may compute, for example, a trend indicator (such as an ADX or moving average slope), a momentum measure (like RSI or Rate-of-Change), a volume-based pressure (similar to MFI/OBV), and a volatility measure (like ATR) . These different values are combined into one composite oscillator. This “multi-dimensional” approach follows best practices of using non-correlated indicators (trend, momentum, volume, volatility) for confirmation. By encoding all these signals in one line, a high QFC reading means that trend, momentum, and volume are all aligned, whereas a neutral reading might mean mixed conditions. This gives traders a comprehensive picture of market strength.
Signal Classification
The script interprets the QFC oscillator to label trades. For example:
• Strong Buy/Sell : Triggered when the oscillator crosses a high-confidence threshold (e.g. breaks clearly above zero with strong slope), indicating a well-confirmed move. This is like seeing a big green/red QFC candle aligned with the trend.
• Pullbacks : Identified when the trend is up but momentum dips briefly. A Pullback Buy appears if the overall trend is bullish but the oscillator has a short retracement – a typical buying opportunity in an uptrend. (A pullback is “a brief decline or pause in a generally upward price trend”.)
• Early Buy/Sell : Marks an initial swing in the oscillator suggesting a possible new trend, before it is fully confirmed. It’s a hint of momentum building (an early-warning signal), not as strong as the confirmed “Strong” signal.
• Exit Warnings : Issued when momentum peaks or reverses. For instance, if the QFC bars reach a high and start turning red/green opposite, the indicator warns that the move may be ending. In other words, a Momentum Peak is the point of maximum strength after which weakness may follow.
These categories correspond to typical trading concepts: Pullback (temporary reversal in an uptrend), Early Buy (an initial bullish cross), Strong Buy (confirmed bullish momentum), and Momentum Peak (peak oscillator value suggesting exhaustion).
Filters (DI Reversal, Dynamic Thresholds, HTF EMA/ADX)
Extra filters help avoid bad trades. A DI Reversal filter uses the +DI/–DI lines (from the ADX system) to require that the trend direction confirms the signal . For example, it might ignore a buy signal if the +DI is still below –DI. Dynamic Thresholds adjust signal levels on-the-fly: rather than fixed “overbought” lines, they move with volatility so signals happen under appropriate market stress. An optional High-Timeframe EMA or ADX filter adds a check against a larger timeframe trend: for instance, only taking a trade if price is above the weekly EMA or if weekly ADX shows a strong trend. (Notably, the ADX is “a technical indicator used by traders to determine the strength of a price trend”, so requiring a high-timeframe ADX avoids trading against the bigger trend.)
Dashboard Metrics & Color Logic
The Dashboard in the Ultimate Scalping Tool (UST) serves as a centralized information hub, providing traders with real-time insights into market conditions, trend strength, momentum, volume pressure, and trade signals. It is highly customizable, allowing users to adjust its appearance and content based on their preferences.
1. Dashboard Layout & Customization
Short vs. Extended Mode : Users can toggle between a compact view (9 rows) and an extended view (13 rows) via the `Short Dashboard` input.
Text Size Options : The dashboard supports three text sizes— Tiny, Small, and Normal —adjustable via the `Dashboard Text Size` input.
Positioning : The dashboard is positioned in the top-right corner by default but can be moved if modified in the script.
2. Key Metrics Displayed
The dashboard presents critical trading metrics in a structured table format:
Trend (TF) : Indicates the current trend direction (Strong Bullish, Moderate Bullish, Sideways, Moderate Bearish, Strong Bearish) based on normalized trend strength (normTrend) .
Momentum (TF) : Displays momentum status (Strong Bullish/Bearish or Neutral) derived from the oscillator's position relative to dynamic thresholds.
Volume (CMF) : Shows buying/selling pressure levels (Very High Buying, High Selling, Neutral, etc.) based on the Chaikin Money Flow (CMF) indicator.
Basic & Advanced Signals:
Basic Signal : Provides simple trade signals (Strong Buy, Strong Sell, Pullback Buy, Pullback Sell, No Trade).
Advanced Signal : Offers nuanced signals (Early Buy/Sell, Momentum Peak, Weakening Momentum, etc.) with color-coded alerts.
RSI : Displays the Relative Strength Index (RSI) value, colored based on overbought (>70), oversold (<30), or neutral conditions.
HTF Filter : Indicates the higher timeframe trend status (Bullish, Bearish, Neutral) when using the Leading HTF Filter.
VWAP : Shows the V olume-Weighted Average Price and whether the current price is above (bullish) or below (bearish) it.
ADX : Displays the Average Directional Index (ADX) value, with color highlighting whether it is rising (green) or falling (red).
Market Mode : Shows the selected market type (Crypto, Stocks, Options, Forex, Custom).
Regime : Indicates volatility conditions (High, Low, Moderate) based on the **ATR ratio**.
3. Filters Status Panel
A secondary panel displays the status of active filters, helping traders quickly assess which conditions are influencing signals:
- DI Reversal Filter: On/Off (confirms reversals before generating signals).
- Dynamic Thresholds: On/Off (adjusts buy/sell thresholds based on volatility).
- Adaptive Weighting: On/Off (auto-adjusts oscillator weights for trend/momentum/volatility).
- Early Signal: On/Off (enables early momentum-based signals).
- Leading HTF Filter: On/Off (applies higher timeframe trend confirmation).
4. Visual Enhancements
Color-Coded Cells : Each metric is color-coded (green for bullish, red for bearish, gray for neutral) for quick interpretation.
Dynamic Background : The dashboard background adapts to market conditions (bullish/bearish/neutral) based on ADX and DI trends.
Customizable Reference Lines : Users can enable/disable fixed reference lines for the oscillator.
How It(QFC) Differs from Traditional Indicators
Quantum Flux Candle (QFC) Versus Heikin-Ashi
Heikin-Ashi candles smooth price by averaging (HA’s open/close use averages) so they show trend clearly but hide true price (the current HA bar’s close is not the real price). QFC candles are different: they are oscillator values, not price averages . A Heikin-Ashi chart “has a smoother look because it is essentially taking an average of the movement”, which can cause lag. The QFC instead shows the raw combined momentum each bar, allowing faster recognition of shifts. In short, HA is a smoothed price chart; QFC is a momentum-based chart.
Versus Standard Oscillators
Common oscillators like RSI or MACD use fixed formulas on price (or price+volume). For example, RSI “compares gains and losses and normalizes this value on a scale from 0 to 100”, reflecting pure price momentum. MFI is similar but adds volume. These indicators each show one dimension: momentum or volume. The Ultimate Scalping Tool’s QFC goes further by integrating trend strength and volatility too. In practice, this means a move that looks strong on RSI might be downplayed by low volume or weak trend in QFC. As one source notes, using multiple non-correlated indicators (trend, momentum, volume, volatility) provides a more complete market picture. The QFC’s multi-factor fusion is unique – it is effectively a multi-dimensional oscillator rather than a traditional single-input one.
Signal Style
Traditional oscillators often use crossovers (RSI crossing 50) or fixed zones (MACD above zero) for signals. The Ultimate Scalping Tool’s signals are custom-classified: it explicitly labels pullbacks, early entries, and strong moves. These terms go beyond a typical indicator’s generic “buy”/“sell.” In other words, it packages a strategy around the oscillator, which traders can backtest or observe without reading code.
Key Term Definitions
• Pullback : A short-term dip or consolidation in an uptrend. In this script, a Pullback Buy appears when price is generally rising but shows a brief retracement. (As defined by Investopedia, a pullback is “a brief decline or pause in a generally upward price trend”.)
• Early Buy/Sell : An initial or tentative entry signal. It means the oscillator first starts turning positive (or negative) before a full trend has developed. It’s an early indication that a trend might be starting.
• Strong Buy/Sell : A confident entry signal when multiple conditions align. This label is used when momentum is already strong and confirmed by trend/volume filters, offering a higher-probability trade.
• Momentum Peak : The point where bullish (or bearish) momentum reaches its maximum before weakening. When the oscillator value stops rising (or falling) and begins to reverse, the script flags it as a peak – signaling that the current move could be overextended.
What is the Flux MA?
The Flux MA (Moving Average) is an Exponential Moving Average (EMA) applied to a normalized oscillator, referred to as FM . Its purpose is to smooth out the fluctuations of the oscillator, providing a clearer picture of the underlying trend direction and strength. Think of it as a dynamic baseline that the oscillator moves above or below, helping you determine whether the market is trending bullish or bearish.
How it’s calculated (Flux MA):
1.The oscillator is normalized (scaled to a range, typically between 0 and 1, using a default scale factor of 100.0).
2.An EMA is applied to this normalized value (FM) over a user-defined period (default is 10 periods).
3.The result is rescaled back to the oscillator’s original range for plotting.
Why it matters : The Flux MA acts like a support or resistance level for the oscillator, making it easier to spot trend shifts.
Color of the Flux Candle
The Quantum Flux Candle visualizes the normalized oscillator (FM) as candlesticks, with colors that indicate specific market conditions based on the relationship between the FM and the Flux MA. Here’s what each color means:
• Green : The FM is above the Flux MA, signaling bullish momentum. This suggests the market is trending upward.
• Red : The FM is below the Flux MA, signaling bearish momentum. This suggests the market is trending downward.
• Yellow : Indicates strong buy conditions (e.g., a "Strong Buy" signal combined with a positive trend). This is a high-confidence signal to go long.
• Purple : Indicates strong sell conditions (e.g., a "Strong Sell" signal combined with a negative trend). This is a high-confidence signal to go short.
The candle mode shows the oscillator’s open, high, low, and close values for each period, similar to price candlesticks, but it’s the color that provides the quick visual cue for trading decisions.
How to Trade the Flux MA with Respect to the Candle
Trading with the Flux MA and Quantum Flux Candle involves using the MA as a trend indicator and the candle colors as entry and exit signals. Here’s a step-by-step guide:
1. Identify the Trend Direction
• Bullish Trend : The Flux Candle is green and positioned above the Flux MA. This indicates upward momentum.
• Bearish Trend : The Flux Candle is red and positioned below the Flux MA. This indicates downward momentum.
The Flux MA serves as the reference line—candles above it suggest buying pressure, while candles below it suggest selling pressure.
2. Interpret Candle Colors for Trade Signals
• Green Candle : General bullish momentum. Consider entering or holding a long position.
• Red Candle : General bearish momentum. Consider entering or holding a short position.
• Yellow Candle : A strong buy signal. This is an ideal time to enter a long trade.
• Purple Candle : A strong sell signal. This is an ideal time to enter a short trade.
3. Enter Trades Based on Crossovers and Colors
• Long Entry : Enter a buy position when the Flux Candle turns green and crosses above the Flux MA. If it turns yellow, this is an even stronger signal to go long.
• Short Entry : Enter a sell position when the Flux Candle turns red and crosses below the Flux MA. If it turns purple, this is an even stronger signal to go short.
4. Exit Trades
• Exit Long : Close your buy position when the Flux Candle turns red or crosses below the Flux MA, indicating the bullish trend may be reversing.
• Exit Short : Close your sell position when the Flux Candle turns green or crosses above the Flux MA, indicating the bearish trend may be reversing.
•You might also exit a long trade if the candle changes from yellow to green (weakening strong buy signal) or a short trade from purple to red (weakening strong sell signal).
5. Use Additional Confirmation
To avoid false signals, combine the Flux MA and candle signals with other indicators or dashboard metrics (e.g., trend strength, momentum, or volume pressure). For example:
•A yellow candle with a " Strong Bullish " trend and high buying volume is a robust long signal.
•A red candle with a " Moderate Bearish " trend and neutral momentum might need more confirmation before shorting.
Practical Example
Imagine you’re scalping a cryptocurrency:
• Long Trade : The Flux Candle turns yellow and is above the Flux MA, with the dashboard showing "Strong Buy" and high buying volume. You enter a long position. You exit when the candle turns red and dips below the Flux MA.
• Short Trade : The Flux Candle turns purple and crosses below the Flux MA, with a "Strong Sell" signal on the dashboard. You enter a short position. You exit when the candle turns green and crosses above the Flux MA.
Market Presets and Adaptation
This indicator is designed to work on any market with candlestick price data (stocks, crypto, forex, indices, etc.). To handle different behavior, it provides presets for major asset classes. Selecting a “Stocks,” “Crypto,” “Forex,” or “Options” preset automatically loads a set of parameter values optimized for that market . For example, a crypto preset might use a shorter lookback or higher sensitivity to account for crypto’s high volatility, while a stocks preset might use slightly longer smoothing since stocks often trend more slowly. In practice, this means the same core QFC logic applies across markets, but the thresholds and smoothing adjust so signals remain relevant for each asset type.
Usage Guidelines
• Recommended Timeframes : Optimized for 1 minute to 15 minute intraday charts. Can also be used on higher timeframes for short term swings.
• Market Types : Select “Crypto,” “Stocks,” “Forex,” or “Options” to auto tune periods, thresholds and weights. Use “Custom” to manually adjust all inputs.
• Interpreting Signals : Always confirm a signal by checking that trend, volume, and VWAP agree on the dashboard. A green “Strong Buy” arrow with green trend, green volume, and price > VWAP is highest probability.
• Adjusting Sensitivity : To reduce false signals in fast markets, enable DI Reversal Confirmation and Dynamic Thresholds. For more frequent entries in trending environments, enable Early Entry Trigger.
• Risk Management : This tool does not plot stop loss or take profit levels. Users should define their own risk parameters based on support/resistance or volatility bands.
Background Shading
To give you an at-a-glance sense of market regime without reading numbers, the indicator automatically tints the chart background in three modes—neutral, bullish and bearish—with two levels of intensity (light vs. dark):
Neutral (Gray)
When ADX is below 20 the market is considered “no trend” or too weak to trade. The background fills with a light gray (high transparency) so you know to sit on your hands.
Bullish (Green)
As soon as ADX rises above 20 and +DI exceeds –DI, the background turns a semi-transparent green, signaling an emerging uptrend. When ADX climbs above 30 (strong trend), the green becomes more opaque—reminding you that trend-following signals (Strong Buy, Pullback) carry extra weight.
Bearish (Red)
Similarly, if –DI exceeds +DI with ADX >20, you get a light red tint for a developing downtrend, and a darker, more solid red once ADX surpasses 30.
By dynamically varying both hue (green vs. red vs. gray) and opacity (light vs. dark), the background instantly communicates trend strength and direction—so you always know whether to favor breakout-style entries (in a strong trend) or stay flat during choppy, low-ADX conditions.
The setup shown in the above chart snapshot is BTCUSD 15 min chart : Binance for reference.
Disclaimer
No indicator guarantees profits. Backtest or paper trade this tool to understand its behavior in your market. Always use proper position sizing and stop loss orders.
Good luck!
- BullByte
HTF High/Low Targets This script plots the previous Highs and Lows of the 1HR, 4HR, Daily, and Weekly timeframes.
Each level is color-coded, extends across the chart, and includes labels to help you spot key areas of past support and resistance.
Use this tool to:
- Confirm intraday price reactions at HTF zones
- Identify high-probability reversal or breakout areas
- Get notified with built-in alerts when price crosses a level
You can toggle each timeframe level on/off in the settings panel.
Great for:
- Day traders and scalpers who trade off 1-minute or 5-minute charts
-Swing traders looking for confluence with HTF zones
- Anyone using a multi-timeframe analysis approach
Created by @mychaellesliemedia.
Nifty Spot First 5-Minute Levels with Daily ResetThis is trend based indicator which confirm buy and short entry and its 80% accurate
Reversal Probability SwiftEdge# Reversal Probability SwiftEdge
This script is a modified and enhanced version of the "Trend Reversal Probability " by AlgoAlpha, licensed under the Mozilla Public License 2.0 (MPL 2.0). Original code © AlgoAlpha. Licensed under MPL 2.0: mozilla.org
## Overview
"Reversal Probability SwiftEdge" calculates the probability of trend reversals using a custom oscillator and RSI-like indicator, visualizing the results through histograms, probability levels, and a dynamic table. It builds on AlgoAlpha's original work by adding user-friendly features and improving compatibility and reliability.
## Key Improvements
- **User-Defined Label Offset**: Added a new input parameter, "Label Offset (Bars)," allowing users to customize the horizontal placement of probability level labels (14%, 50%, 84%, 98%, 99%). This enhances visibility and adaptability across different chart timeframes, addressing user feedback about label positioning.
- **Pine Script v5 Compatibility**: Adapted the script from v6 to v5, ensuring broader accessibility for users on platforms that prioritize v5, while resolving compatibility issues like local scope errors for `plot` and `fill`.
- **Improved Reliability**: Fixed critical editor errors (e.g., `series float` in `label.new`, division-by-zero risks) and added safety checks (e.g., `std_dev != 0`), making the script more robust.
- **Enhanced Readability**: Restructured the code with modular functions (`f_calculate_oscillator`, `f_custom_rsi`) and clear variable names, improving maintainability for users who wish to further customize the script.
- **Streamlined Label Management**: Simplified label handling to reduce clutter and improve performance compared to the original array-based approach.
## Features
- **Dynamic Histograms**: Visualizes signal duration (100%, 80%, 60%, 40%, 20%) with color-coded trends (up/down).
- **Probability Levels**: Displays customizable levels (14%, 50%, 84%, 98%, 99%) with user-adjustable positioning.
- **Reversal Probability Table**: Shows real-time probability with a gradient-based background.
- **Extreme Reversal Signals**: Marks high-probability reversals with a ▼ indicator.
- **Alerts**: Configurable alerts for high (>84%), extreme (>98%), low (<14%) probabilities, and probability resets.
## Usage
1. Adjust the "Oscillator Length" to fine-tune the sensitivity of the oscillator.
2. Enable/disable "Probability Levels" to show/hide level lines and labels.
3. Use "Label Offset (Bars)" to shift labels to the right (e.g., 3 bars for 15 minutes on a 5-minute chart).
4. Customize "Up Color" and "Down Color" for visual clarity.
5. Set up alerts to monitor key reversal probabilities.
## Notes
- This script is published as open source to comply with MPL 2.0 and TradingView's House Rules.
- It is intended for traders seeking to analyze trend reversal probabilities with enhanced customization and reliability.
- Feedback is welcome to further improve the script!
## Credits
- Original code by AlgoAlpha, whose foundational work made this script possible.
- Modified by Swiftedge to add new features and improve usability.
Thank you for using Reversal Probability SwiftEdge! Happy trading!
CANX Premium Momentum & Candle Identification© CanxStixTrader
CANX Premium Momentum & basic candle I.D
(Customizable)
An indicator that simply shows you the way the market is trending and signals candles for potential entry positions. (Fully Customizable)
- This will make it very easy to see what direction you should be looking to trade .
Also included with this script is the candle stick identification tool to help identify the correct timing to enter trades.
- The candle identification will help you identify the correct type of candles for confirmation and entries
Triple EMA 50,100,200
Cloud fill indicates the direction that you should be looking to trade. Red for sells and Green for Buys.
UPDATED WITH MORE CANDLE IDs
Keep it simple
Close Above/Below Level AlertA simple script that alerts when price closes above or below a specific level on the chart time frame.
